Intelligence Snacks 71 – The AI Industry Is Wrong w. Paul Itoi

Paul Itoi, founder of Stakwork, thinks the AI industry has the model wrong. Reliable enterprise AI will depend less on agents doing everything and more on workflows, shared memory and systems that can turn discovered work into repeatable software.

Paul joins Pete and Andy to explore factored cognition, recursive AI systems, graph memory and Stakwork’s forthcoming open-source work. They also get into what happens when AI removes the easy parts of work, why successful automation could actually mean less agent use, and where value accrues in a world of agent marketplaces and Bitcoin micropayments.

**Key Moments:**

- [00:05] Paul returns to the pod with an update on Stakwork, AI orchestration and Lightning.

- [01:28] The “fourth epoch of AI psychosis” and why Paul thinks the industry is wrong.

- [05:19] Model main character syndrome: why memory, actors and workflows deserve more attention.

- [07:38] Agents are great at discovery; workflows are great at repetition.

- [09:54] Show your working: why spreadsheets, evidence and auditable steps matter more than a polished answer.

- [12:49] The runtime question: put intelligence inside a process, rather than asking an agent to run everything.

- [15:01] Stakwork’s forthcoming open-source approach to continual learning, large context and recursive improvement.

- [16:21] The robotaxi analogy: once an agent finds the route, stop paying it to rediscover the way home.

- [19:34] Workflows that build tools: legal redlines, document timelines and shared graph memory.

- [24:32] How big should an intelligence snack be? Factored cognition, nutrition labels and salmon farming.

- [29:19] Human checkpoints define how much freedom to give an agent.

- [32:00] The contrarian outcome: successful automation could mean less agent use as repeatable work becomes software.

- [37:19] When AI removes the easy work, humans are left with the hardest decisions.

- [40:53] Pete explains Flight Deck, Autopilot and working with agents away from the desk.

- [46:36] Voice input, visual feedback and a working day built around short bursts of focused judgment.

- [49:44] From company initiatives to individual code changes: organising work through a zoomable roadmap.

- [53:19] Where does the value go? Small specialist models and marketplaces for knowledge and reasoning.

- [59:02] Agents buying information from agents: micropayments, competition and the economics of reuse.

- [01:02:20] Stop trying to convince everyone. Build around your expertise, interests and the marketplace you want to serve.

**Friends of the Pod:** Paul from Stakwork

**Projects Mentioned:** Stakwork, Hive, Sphinx, Harvey, Wingman, Flight Deck, Autopilot, Tower, OpenClaw, Buzz, Excalidraw, Bitcoin, Lightning

**Concepts:** Factored cognition, recursive language models, shared graph memory, dynamic workflows, auditable AI, human checkpoints, cognitive load, agent marketplaces

**Quote:** “Agents are great at discovery. Workflows are great at repetition.” — Paul Itoi